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IPMI
2001
Springer
14 years 8 months ago
Intuitive, Localized Analysis of Shape Variability
Abstract. Analysis of shape variability is important for diagnostic classification and understanding of biological processes. We present a novel shape analysis approach based on a ...
Paul A. Yushkevich, Stephen M. Pizer, Sarang C. Jo...
EDBT
2004
ACM
172views Database» more  EDBT 2004»
14 years 8 months ago
Efficient Similarity Search for Hierarchical Data in Large Databases
Structured and semi-structured object representations are getting more and more important for modern database applications. Examples for such data are hierarchical structures inclu...
Karin Kailing, Hans-Peter Kriegel, Stefan Schö...
TIP
2010
150views more  TIP 2010»
13 years 6 months ago
Study of Subjective and Objective Quality Assessment of Video
Abstract—We present the results of a recent large-scale subjective study of video quality on a collection of videos distorted by a variety of application-relevant processes. Meth...
Kalpana Seshadrinathan, Rajiv Soundararajan, Alan ...
ICASSP
2009
IEEE
14 years 2 months ago
Compression of image patches for local feature extraction
Local features are widely used for content-based image retrieval and object recognition. We present an efficient method for encoding digital images suitable for local feature extr...
Mina Makar, Chuo-Ling Chang, David M. Chen, Sam S....
KDD
2004
ACM
190views Data Mining» more  KDD 2004»
14 years 8 months ago
Kernel k-means: spectral clustering and normalized cuts
Kernel k-means and spectral clustering have both been used to identify clusters that are non-linearly separable in input space. Despite significant research, these methods have re...
Inderjit S. Dhillon, Yuqiang Guan, Brian Kulis